{"id":"W5946680","doi":"10.1007/978-3-642-24500-8_8","title":"Gemini: A Pervasive Accumulated Context Exergame","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pace; Software deployment; Commercialization; Computer science; Context (archaeology); Scalability; Human–computer interaction; Term (time); Multimedia; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001357022,0.001125323,0.0003970009,0.0003272484,0.0003184671,0.0005951639,0.00114469,0.0006352564,0.03153629],"category_scores_gemma":[0.0002275147,0.0002969721,0.0003791208,0.0001638497,0.0001750412,0.0009288759,0.002646407,0.0006305024,0.007560282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001180455,"about_ca_system_score_gemma":0.0002496482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005620999,"about_ca_topic_score_gemma":0.001928835,"domain_scores_codex":[0.9999101,0.00001083166,0.000003893044,0.00002486334,0.00003179282,0.00001836591],"domain_scores_gemma":[0.9999598,0.000006869912,0.000002298781,0.00000551774,0.000006997036,0.00001844351],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003933283,0.002509277,0.001917993,0.001867585,0.0002657571,0.0009603552,0.0009459371,0.008743504,0.18708,0.0177575,0.07637314,0.6976457],"study_design_scores_gemma":[0.001202204,0.006122487,0.03137954,0.0006466836,0.0006371205,0.005145893,0.00124656,0.07221851,0.07538573,0.02377281,0.7818916,0.0003508528],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1844479,0.002342288,0.6060148,0.0006808342,0.0007168173,0.001514767,0.004554461,0.02933482,0.1703933],"genre_scores_gemma":[0.399354,0.001871071,0.2992559,0.0007084931,0.0001135635,0.001408309,0.006858733,0.002544284,0.2878858],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03153629,"threshold_uncertainty_score":0.1054994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866445318236013,"score_gpt":0.2737435718161972,"score_spread":0.2350791186338371,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}